SOCR: Statistics Online Computational Resource

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Title:

SOCR: Statistics Online Computational Resource

Url:

http://socr.ucla.edu/

Publisher:

University of California, Los Angeles.

Description: The SOCR philosophy has four parts: "1. Tools must be freely available on the Web (SOCR Motto: It’s online, therefore it exists!) 2. Newly developed materials must be useful, extensible, factually correct, validated and deployed on the web. 3. Tools must be well designed, extensible, platform-independent and open-source; 4. Materials must explicitly utilize some SOCR interactive resources (e.g., activities with applet demos) and provide the means of cross reference by various SOCR tools (e.g., applet calculations citing formulas in instructional materials)." Each section of the site consists of an instructional applet with many customizable settings, and three sections are worth noting. First, Interactive Distributions provides graphical illustrations of over 30 different statistical data distributions. An especially useful feature of this applet is the Info button -- when pressed, it takes the user to a detailed description of the selected distribution. The second section allows the user to perform a variety of statistical analyses on pre-defined or manually input data. These include analysis of variance (ANOVA), regression and correlation, and more. The third section is a modeler for a user-defined function. The user can draw a curve and the applet will fit a trend line to the curve. A serious shortcoming of this site is the lack of documentation provided with certain applets; while this is not an issue with the aforementioned sections, it makes the two remaining sections nearly unusable.

LC Classification:

Science -- Mathematics -- Mathematical statistics -- Analysis of variance and covariance. Experimental design -- General works
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Probabilities -- Distributions. Characteristic functions
Science -- Mathematics -- Probabilities -- Geometric probability. Stochastic geometry. Random sets

GEM Subject:

Mathematics -- Technology
Mathematics -- Instructional issues
Mathematics -- Statistics
Mathematics -- Probability
Educational Technology -- Instructional issues

Key Concept:

Mathematics -- Frequency distributions
Mathematics -- Mathematical models
Mathematics -- Statistics

Resource Type:

Dataset
Collection
Dataset -- List/Table
Audio/Visual -- Graph
Instructional Material
Instructional Material -- Model
Instructional Material -- Interactive Simulation

Format:

Application -- Java

Audience:

Educator
Learner

Education Level:

High School
Higher Education -- Graduate/Professional
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)

Language:

English

Rights:

[email protected]

Access Rights:

Free access

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Source Type:

Internet Scout

Source:

Scout Archives

Full Record Views:

309

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Cumulative Rating:

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